An Unsaturated Hydraulic Conductivity Model Based on the Capillary Bundle Model, the Brooks‐Corey Model and Waxman‐Smits Model
Soil unsaturated hydraulic conductivity (K), which depends on water content (θ) and matric potential (ψ), exhibits a high degree of variability at the field scale. Here we first develop a theoretical hydraulic‐electrical conductivity (σ) relationship under low and high salinity cases based on the ca...
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description | Soil unsaturated hydraulic conductivity (K), which depends on water content (θ) and matric potential (ψ), exhibits a high degree of variability at the field scale. Here we first develop a theoretical hydraulic‐electrical conductivity (σ) relationship under low and high salinity cases based on the capillary bundle model and Waxman and Smits model which can account for the non‐linear behavior of σ at low salinities. Then the K‐σ relationship is converted into a K(θ, ψ) model using the Brooks‐Corey model. The model includes two parameters c and γ. Parameter c accounts for the variation of the term (λ + 2)/(λ + 4) where λ is the pore size distribution parameter in the Brooks‐Corey model, and the term m‐n where m and n are Archie's saturation and cementation exponents, respectively. Parameter γ is the sum of the tortuosity factor accounting for the differences between hydraulic and electrical tortuosity and Archie's saturation exponent. Based on a calibration data set of 150 soils selected from the UNSODA database, the best fitting log(c) and γ values were determined as −2.53 and 1.92, −4.39 and −0.14, −5.01 and −1.34, and −5.79 and −2.27 for four textural groups. The estimated log10(K) values with the new K(θ, ψ) model compared well to the measured values from an independent data set of 49 soils selected from the UNSODA database, with mean error (ME), relative error (RE), root mean square error (RMSE) and coefficient of determination (R2) values of 0.02, 8.8%, 0.80 and 0.73, respectively. A second test of the new K(θ, ψ) model using a data set representing 23 soils reported in the literature also showed good agreement between estimated and measured log10(K) values with ME of −0.01, RE of 9.5%, RMSE of 0.77 and R2 of 0.85. The new K(θ, ψ) model outperformed the Mualem‐van Genuchten model and two recently published pedo‐transfer functions. The new K(θ, ψ) model can be applied for estimating K under field conditions and for hydrologic modeling without need for soil water retention curve data fitting to derive a K function.
Key Points
A new unsaturated hydraulic conductivity model was developed in terms of independent θ and ψ values
Best fitting values of two parameters in the new unsaturated hydraulic conductivity model were determined from 150 soils in the calibration data set
The new model provided reliable estimates of hydraulic conductivity for 72 soils from two independent data sets |
doi_str_mv | 10.1029/2022WR034186 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2829815588</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2829815588</sourcerecordid><originalsourceid>FETCH-LOGICAL-a2986-45d8145c37bba0c596f55176b1d9877966c5e797f5b1169583003a9d7284401a3</originalsourceid><addsrcrecordid>eNp9kE1OwzAQhS0EEqWw4wCW2DZgx_Hfso2AIhUhFaouIyd2RUoaFzsBskOcgDNyEgwBiRWrWbxv5s17ABxjdIpRLM9iFMfLOSIJFmwHDLBMkohLTnbBAKGERJhIvg8OvF8jhBPK-AC8jWu4qL1qWqcao-G00061VVnA1Na6LZryqWw6eG21qeBE-YDYGjb3BqZqW1aVch2ctLWuTM-MvrWJs_bBf7y-p9aZ321Va7hULxtVB-F2Uza-Fw7B3kpV3hz9zCFYXJzfpdNodnN5lY5nkYqlYFFCtQhPF4TnuUIFlWxFKeYsx1oKziVjBTUh7YrmGDNJBUGIKKl5LJIEYUWG4KS_u3X2sTW-yda2dXWwzGIRLDClQgRq1FOFs947s8q2rtyEmBlG2VfL2d-WA056_LmsTPcvmy3n6TxmjDLyCc0rfxw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2829815588</pqid></control><display><type>article</type><title>An Unsaturated Hydraulic Conductivity Model Based on the Capillary Bundle Model, the Brooks‐Corey Model and Waxman‐Smits Model</title><source>Wiley-Blackwell AGU Digital Library</source><source>Wiley Online Library All Journals</source><creator>Fu, Yongwei ; Horton, Robert ; Ren, Tusheng ; Heitman, Joshua</creator><creatorcontrib>Fu, Yongwei ; Horton, Robert ; Ren, Tusheng ; Heitman, Joshua</creatorcontrib><description>Soil unsaturated hydraulic conductivity (K), which depends on water content (θ) and matric potential (ψ), exhibits a high degree of variability at the field scale. Here we first develop a theoretical hydraulic‐electrical conductivity (σ) relationship under low and high salinity cases based on the capillary bundle model and Waxman and Smits model which can account for the non‐linear behavior of σ at low salinities. Then the K‐σ relationship is converted into a K(θ, ψ) model using the Brooks‐Corey model. The model includes two parameters c and γ. Parameter c accounts for the variation of the term (λ + 2)/(λ + 4) where λ is the pore size distribution parameter in the Brooks‐Corey model, and the term m‐n where m and n are Archie's saturation and cementation exponents, respectively. Parameter γ is the sum of the tortuosity factor accounting for the differences between hydraulic and electrical tortuosity and Archie's saturation exponent. Based on a calibration data set of 150 soils selected from the UNSODA database, the best fitting log(c) and γ values were determined as −2.53 and 1.92, −4.39 and −0.14, −5.01 and −1.34, and −5.79 and −2.27 for four textural groups. The estimated log10(K) values with the new K(θ, ψ) model compared well to the measured values from an independent data set of 49 soils selected from the UNSODA database, with mean error (ME), relative error (RE), root mean square error (RMSE) and coefficient of determination (R2) values of 0.02, 8.8%, 0.80 and 0.73, respectively. A second test of the new K(θ, ψ) model using a data set representing 23 soils reported in the literature also showed good agreement between estimated and measured log10(K) values with ME of −0.01, RE of 9.5%, RMSE of 0.77 and R2 of 0.85. The new K(θ, ψ) model outperformed the Mualem‐van Genuchten model and two recently published pedo‐transfer functions. The new K(θ, ψ) model can be applied for estimating K under field conditions and for hydrologic modeling without need for soil water retention curve data fitting to derive a K function.
Key Points
A new unsaturated hydraulic conductivity model was developed in terms of independent θ and ψ values
Best fitting values of two parameters in the new unsaturated hydraulic conductivity model were determined from 150 soils in the calibration data set
The new model provided reliable estimates of hydraulic conductivity for 72 soils from two independent data sets</description><identifier>ISSN: 0043-1397</identifier><identifier>EISSN: 1944-7973</identifier><identifier>DOI: 10.1029/2022WR034186</identifier><language>eng</language><publisher>Washington: John Wiley & Sons, Inc</publisher><subject>capillary bundle model ; Cementation ; Curve fitting ; Datasets ; Electrical conductivity ; Electrical resistivity ; Hydraulic conductivity ; hydraulic conductivity model ; Hydraulics ; Hydrologic models ; Hydrology ; Mathematical models ; matric potential ; Modelling ; Moisture content ; Parameters ; Pore size ; Pore size distribution ; Root-mean-square errors ; Salinity ; Saturation ; Size distribution ; Soil ; Soil water ; Tortuosity ; Transfer functions ; Unsaturated soils ; Water content</subject><ispartof>Water resources research, 2023-06, Vol.59 (6), p.n/a</ispartof><rights>2023. The Authors.</rights><rights>2023. This article is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a2986-45d8145c37bba0c596f55176b1d9877966c5e797f5b1169583003a9d7284401a3</citedby><cites>FETCH-LOGICAL-a2986-45d8145c37bba0c596f55176b1d9877966c5e797f5b1169583003a9d7284401a3</cites><orcidid>0000-0002-8708-0693 ; 0000-0002-6277-0794</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1029%2F2022WR034186$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1029%2F2022WR034186$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,1417,11514,27924,27925,45574,45575,46468,46892</link.rule.ids></links><search><creatorcontrib>Fu, Yongwei</creatorcontrib><creatorcontrib>Horton, Robert</creatorcontrib><creatorcontrib>Ren, Tusheng</creatorcontrib><creatorcontrib>Heitman, Joshua</creatorcontrib><title>An Unsaturated Hydraulic Conductivity Model Based on the Capillary Bundle Model, the Brooks‐Corey Model and Waxman‐Smits Model</title><title>Water resources research</title><description>Soil unsaturated hydraulic conductivity (K), which depends on water content (θ) and matric potential (ψ), exhibits a high degree of variability at the field scale. Here we first develop a theoretical hydraulic‐electrical conductivity (σ) relationship under low and high salinity cases based on the capillary bundle model and Waxman and Smits model which can account for the non‐linear behavior of σ at low salinities. Then the K‐σ relationship is converted into a K(θ, ψ) model using the Brooks‐Corey model. The model includes two parameters c and γ. Parameter c accounts for the variation of the term (λ + 2)/(λ + 4) where λ is the pore size distribution parameter in the Brooks‐Corey model, and the term m‐n where m and n are Archie's saturation and cementation exponents, respectively. Parameter γ is the sum of the tortuosity factor accounting for the differences between hydraulic and electrical tortuosity and Archie's saturation exponent. Based on a calibration data set of 150 soils selected from the UNSODA database, the best fitting log(c) and γ values were determined as −2.53 and 1.92, −4.39 and −0.14, −5.01 and −1.34, and −5.79 and −2.27 for four textural groups. The estimated log10(K) values with the new K(θ, ψ) model compared well to the measured values from an independent data set of 49 soils selected from the UNSODA database, with mean error (ME), relative error (RE), root mean square error (RMSE) and coefficient of determination (R2) values of 0.02, 8.8%, 0.80 and 0.73, respectively. A second test of the new K(θ, ψ) model using a data set representing 23 soils reported in the literature also showed good agreement between estimated and measured log10(K) values with ME of −0.01, RE of 9.5%, RMSE of 0.77 and R2 of 0.85. The new K(θ, ψ) model outperformed the Mualem‐van Genuchten model and two recently published pedo‐transfer functions. The new K(θ, ψ) model can be applied for estimating K under field conditions and for hydrologic modeling without need for soil water retention curve data fitting to derive a K function.
Key Points
A new unsaturated hydraulic conductivity model was developed in terms of independent θ and ψ values
Best fitting values of two parameters in the new unsaturated hydraulic conductivity model were determined from 150 soils in the calibration data set
The new model provided reliable estimates of hydraulic conductivity for 72 soils from two independent data sets</description><subject>capillary bundle model</subject><subject>Cementation</subject><subject>Curve fitting</subject><subject>Datasets</subject><subject>Electrical conductivity</subject><subject>Electrical resistivity</subject><subject>Hydraulic conductivity</subject><subject>hydraulic conductivity model</subject><subject>Hydraulics</subject><subject>Hydrologic models</subject><subject>Hydrology</subject><subject>Mathematical models</subject><subject>matric potential</subject><subject>Modelling</subject><subject>Moisture content</subject><subject>Parameters</subject><subject>Pore size</subject><subject>Pore size distribution</subject><subject>Root-mean-square errors</subject><subject>Salinity</subject><subject>Saturation</subject><subject>Size distribution</subject><subject>Soil</subject><subject>Soil water</subject><subject>Tortuosity</subject><subject>Transfer functions</subject><subject>Unsaturated soils</subject><subject>Water content</subject><issn>0043-1397</issn><issn>1944-7973</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>WIN</sourceid><recordid>eNp9kE1OwzAQhS0EEqWw4wCW2DZgx_Hfso2AIhUhFaouIyd2RUoaFzsBskOcgDNyEgwBiRWrWbxv5s17ABxjdIpRLM9iFMfLOSIJFmwHDLBMkohLTnbBAKGERJhIvg8OvF8jhBPK-AC8jWu4qL1qWqcao-G00061VVnA1Na6LZryqWw6eG21qeBE-YDYGjb3BqZqW1aVch2ctLWuTM-MvrWJs_bBf7y-p9aZ321Va7hULxtVB-F2Uza-Fw7B3kpV3hz9zCFYXJzfpdNodnN5lY5nkYqlYFFCtQhPF4TnuUIFlWxFKeYsx1oKziVjBTUh7YrmGDNJBUGIKKl5LJIEYUWG4KS_u3X2sTW-yda2dXWwzGIRLDClQgRq1FOFs947s8q2rtyEmBlG2VfL2d-WA056_LmsTPcvmy3n6TxmjDLyCc0rfxw</recordid><startdate>202306</startdate><enddate>202306</enddate><creator>Fu, Yongwei</creator><creator>Horton, Robert</creator><creator>Ren, Tusheng</creator><creator>Heitman, Joshua</creator><general>John Wiley & Sons, Inc</general><scope>24P</scope><scope>WIN</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7QL</scope><scope>7T7</scope><scope>7TG</scope><scope>7U9</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H94</scope><scope>H96</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>M7N</scope><scope>P64</scope><orcidid>https://orcid.org/0000-0002-8708-0693</orcidid><orcidid>https://orcid.org/0000-0002-6277-0794</orcidid></search><sort><creationdate>202306</creationdate><title>An Unsaturated Hydraulic Conductivity Model Based on the Capillary Bundle Model, the Brooks‐Corey Model and Waxman‐Smits Model</title><author>Fu, Yongwei ; Horton, Robert ; Ren, Tusheng ; Heitman, Joshua</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a2986-45d8145c37bba0c596f55176b1d9877966c5e797f5b1169583003a9d7284401a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>capillary bundle model</topic><topic>Cementation</topic><topic>Curve fitting</topic><topic>Datasets</topic><topic>Electrical conductivity</topic><topic>Electrical resistivity</topic><topic>Hydraulic conductivity</topic><topic>hydraulic conductivity model</topic><topic>Hydraulics</topic><topic>Hydrologic models</topic><topic>Hydrology</topic><topic>Mathematical models</topic><topic>matric potential</topic><topic>Modelling</topic><topic>Moisture content</topic><topic>Parameters</topic><topic>Pore size</topic><topic>Pore size distribution</topic><topic>Root-mean-square errors</topic><topic>Salinity</topic><topic>Saturation</topic><topic>Size distribution</topic><topic>Soil</topic><topic>Soil water</topic><topic>Tortuosity</topic><topic>Transfer functions</topic><topic>Unsaturated soils</topic><topic>Water content</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Fu, Yongwei</creatorcontrib><creatorcontrib>Horton, Robert</creatorcontrib><creatorcontrib>Ren, Tusheng</creatorcontrib><creatorcontrib>Heitman, Joshua</creatorcontrib><collection>Wiley-Blackwell Open Access Titles</collection><collection>Wiley Free Content</collection><collection>CrossRef</collection><collection>Aqualine</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><jtitle>Water resources research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fu, Yongwei</au><au>Horton, Robert</au><au>Ren, Tusheng</au><au>Heitman, Joshua</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An Unsaturated Hydraulic Conductivity Model Based on the Capillary Bundle Model, the Brooks‐Corey Model and Waxman‐Smits Model</atitle><jtitle>Water resources research</jtitle><date>2023-06</date><risdate>2023</risdate><volume>59</volume><issue>6</issue><epage>n/a</epage><issn>0043-1397</issn><eissn>1944-7973</eissn><abstract>Soil unsaturated hydraulic conductivity (K), which depends on water content (θ) and matric potential (ψ), exhibits a high degree of variability at the field scale. Here we first develop a theoretical hydraulic‐electrical conductivity (σ) relationship under low and high salinity cases based on the capillary bundle model and Waxman and Smits model which can account for the non‐linear behavior of σ at low salinities. Then the K‐σ relationship is converted into a K(θ, ψ) model using the Brooks‐Corey model. The model includes two parameters c and γ. Parameter c accounts for the variation of the term (λ + 2)/(λ + 4) where λ is the pore size distribution parameter in the Brooks‐Corey model, and the term m‐n where m and n are Archie's saturation and cementation exponents, respectively. Parameter γ is the sum of the tortuosity factor accounting for the differences between hydraulic and electrical tortuosity and Archie's saturation exponent. Based on a calibration data set of 150 soils selected from the UNSODA database, the best fitting log(c) and γ values were determined as −2.53 and 1.92, −4.39 and −0.14, −5.01 and −1.34, and −5.79 and −2.27 for four textural groups. The estimated log10(K) values with the new K(θ, ψ) model compared well to the measured values from an independent data set of 49 soils selected from the UNSODA database, with mean error (ME), relative error (RE), root mean square error (RMSE) and coefficient of determination (R2) values of 0.02, 8.8%, 0.80 and 0.73, respectively. A second test of the new K(θ, ψ) model using a data set representing 23 soils reported in the literature also showed good agreement between estimated and measured log10(K) values with ME of −0.01, RE of 9.5%, RMSE of 0.77 and R2 of 0.85. The new K(θ, ψ) model outperformed the Mualem‐van Genuchten model and two recently published pedo‐transfer functions. The new K(θ, ψ) model can be applied for estimating K under field conditions and for hydrologic modeling without need for soil water retention curve data fitting to derive a K function.
Key Points
A new unsaturated hydraulic conductivity model was developed in terms of independent θ and ψ values
Best fitting values of two parameters in the new unsaturated hydraulic conductivity model were determined from 150 soils in the calibration data set
The new model provided reliable estimates of hydraulic conductivity for 72 soils from two independent data sets</abstract><cop>Washington</cop><pub>John Wiley & Sons, Inc</pub><doi>10.1029/2022WR034186</doi><tpages>25</tpages><orcidid>https://orcid.org/0000-0002-8708-0693</orcidid><orcidid>https://orcid.org/0000-0002-6277-0794</orcidid><oa>free_for_read</oa></addata></record> |
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source | Wiley-Blackwell AGU Digital Library; Wiley Online Library All Journals |
subjects | capillary bundle model Cementation Curve fitting Datasets Electrical conductivity Electrical resistivity Hydraulic conductivity hydraulic conductivity model Hydraulics Hydrologic models Hydrology Mathematical models matric potential Modelling Moisture content Parameters Pore size Pore size distribution Root-mean-square errors Salinity Saturation Size distribution Soil Soil water Tortuosity Transfer functions Unsaturated soils Water content |
title | An Unsaturated Hydraulic Conductivity Model Based on the Capillary Bundle Model, the Brooks‐Corey Model and Waxman‐Smits Model |
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